Sara Gerke

AI Ethics, Fairness & Society · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Sara Gerke trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sandra Wachter
  2. Samuel G. Finlayson
  3. Brent Daniel Mittelstadt
  4. Eric J. Topol

Who trusts Sara Gerke overall

  1. Jessica Morley

Papers from Sara Gerke's perspective

Ordered by how strongly the researchers Sara Gerke trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Potential Liability for Physicians Using Artificial Intelligence.
  2. Adversarial attacks on medical machine learning (Science)
  3. Clinically applicable deep learning for diagnosis and referral in retinal disease
  4. Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation
  5. Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings? (BMJ Global Health)
  6. Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Densely Connected Convolutional Networks
  9. Big Data's Disparate Impact
  10. Rethinking the Inception Architecture for Computer Vision

Their papers